ServerRun 11213
Creatorfavre
Programsvm-hmm
Datasetner-conll-2002-esp
Task typeSequenceTagging
Created6y288d ago
DownloadLogin required!
Done! Flag_green
5m16s
420M
SequenceTagging
0.949
0.663
0.933
0.534

Log file

... (lines omitted) ...
Iter 288: *(NumConst=90, SV=25, CEps=0.2775, QPEps=0.0994)
Iter 289: .........*(NumConst=89, SV=30, CEps=1.5633, QPEps=0.7639)
Iter 290: *(NumConst=90, SV=34, CEps=1.0343, QPEps=0.4009)
Iter 291: *(NumConst=91, SV=32, CEps=1.8996, QPEps=0.3891)
Iter 292: *(NumConst=90, SV=34, CEps=1.2163, QPEps=0.5113)
Iter 293: *(NumConst=90, SV=36, CEps=1.5420, QPEps=0.5082)
Iter 294: *(NumConst=90, SV=33, CEps=1.3579, QPEps=0.4881)
Iter 295: *(NumConst=90, SV=38, CEps=1.2832, QPEps=0.4590)
Iter 296: *(NumConst=89, SV=30, CEps=1.1315, QPEps=0.4908)
Iter 297: *(NumConst=89, SV=32, CEps=0.6785, QPEps=0.2884)
Iter 298: *(NumConst=90, SV=30, CEps=0.8609, QPEps=0.3244)
Iter 299: *(NumConst=89, SV=31, CEps=0.8207, QPEps=0.3287)
Iter 300: *(NumConst=90, SV=29, CEps=0.8161, QPEps=0.3074)
Iter 301: *(NumConst=90, SV=27, CEps=0.6966, QPEps=0.3294)
Iter 302: *(NumConst=91, SV=30, CEps=0.7874, QPEps=0.2800)
Iter 303: *(NumConst=92, SV=29, CEps=0.6398, QPEps=0.2918)
Iter 304: *(NumConst=92, SV=28, CEps=0.6045, QPEps=0.2983)
Iter 305: *(NumConst=91, SV=27, CEps=0.9422, QPEps=0.2532)
Iter 306: *(NumConst=91, SV=30, CEps=0.6021, QPEps=0.2887)
Iter 307: *(NumConst=91, SV=32, CEps=0.5676, QPEps=0.2562)
Iter 308: *(NumConst=88, SV=31, CEps=0.5280, QPEps=0.2304)
Iter 309: *(NumConst=89, SV=28, CEps=0.6395, QPEps=0.2481)
Iter 310: *(NumConst=89, SV=30, CEps=0.7030, QPEps=0.2436)
Iter 311: *(NumConst=89, SV=26, CEps=0.6275, QPEps=0.2459)
Iter 312: *(NumConst=89, SV=26, CEps=0.4351, QPEps=0.2135)
Iter 313: *(NumConst=90, SV=26, CEps=0.8485, QPEps=0.1814)
Iter 314: *(NumConst=90, SV=26, CEps=0.5653, QPEps=0.1964)
Iter 315: *(NumConst=90, SV=26, CEps=0.4214, QPEps=0.1992)
Iter 316: *(NumConst=91, SV=25, CEps=0.4299, QPEps=0.2061)
Iter 317: *(NumConst=91, SV=26, CEps=0.5158, QPEps=0.2021)
Iter 318: *(NumConst=92, SV=28, CEps=0.5285, QPEps=0.2031)
Iter 319: *(NumConst=91, SV=28, CEps=0.6053, QPEps=0.2018)
Iter 320: *(NumConst=91, SV=25, CEps=0.4839, QPEps=0.1787)
Iter 321: *(NumConst=92, SV=29, CEps=0.3505, QPEps=0.1741)
Iter 322: *(NumConst=92, SV=24, CEps=0.6646, QPEps=0.1234)
Iter 323: *(NumConst=93, SV=27, CEps=0.3960, QPEps=0.1397)
Iter 324: *(NumConst=92, SV=27, CEps=0.4312, QPEps=0.1646)
Iter 325: *(NumConst=93, SV=25, CEps=0.4213, QPEps=0.1558)
Iter 326: *(NumConst=93, SV=28, CEps=0.2802, QPEps=0.1305)
Iter 327: *(NumConst=94, SV=26, CEps=0.3664, QPEps=0.1393)
Iter 328: *(NumConst=95, SV=27, CEps=0.2766, QPEps=0.1226)
Iter 329: *(NumConst=94, SV=28, CEps=0.3252, QPEps=0.1307)
Iter 330: *(NumConst=95, SV=26, CEps=0.3273, QPEps=0.1180)
Iter 331: *(NumConst=96, SV=28, CEps=0.3326, QPEps=0.1325)
Iter 332: *(NumConst=97, SV=26, CEps=0.3197, QPEps=0.1288)
Iter 333: *(NumConst=98, SV=27, CEps=0.2694, QPEps=0.1295)
Iter 334: *(NumConst=99, SV=26, CEps=0.2667, QPEps=0.1164)
Iter 335: *(NumConst=99, SV=29, CEps=0.3155, QPEps=0.1257)
Iter 336: *(NumConst=100, SV=28, CEps=0.2010, QPEps=0.0964)
Iter 337: *(NumConst=101, SV=25, CEps=0.2427, QPEps=0.0742)
Iter 338: *(NumConst=102, SV=28, CEps=0.2657, QPEps=0.0999)
Iter 339: *(NumConst=102, SV=27, CEps=0.2128, QPEps=0.0957)
Iter 340: *(NumConst=99, SV=30, CEps=0.1857, QPEps=0.0924)
Iter 341: *(NumConst=98, SV=28, CEps=0.2452, QPEps=0.0916)
Iter 342: *(NumConst=99, SV=32, CEps=0.1942, QPEps=0.0876)
Iter 343: *(NumConst=98, SV=30, CEps=0.2332, QPEps=0.0912)
Iter 344: *(NumConst=95, SV=30, CEps=0.2313, QPEps=0.0864)
Iter 345: *(NumConst=94, SV=31, CEps=0.1932, QPEps=0.0911)
Iter 346: *(NumConst=94, SV=30, CEps=0.1957, QPEps=0.0910)
Iter 347: .........*(NumConst=94, SV=31, CEps=1.1224, QPEps=0.3617)
Iter 348: *(NumConst=92, SV=36, CEps=0.7068, QPEps=0.3502)
Iter 349: *(NumConst=93, SV=38, CEps=0.5554, QPEps=0.2388)
Iter 350: *(NumConst=92, SV=36, CEps=0.5097, QPEps=0.2533)
Iter 351: *(NumConst=93, SV=36, CEps=0.4440, QPEps=0.2064)
Iter 352: *(NumConst=93, SV=34, CEps=0.9853, QPEps=0.2189)
Iter 353: *(NumConst=92, SV=38, CEps=0.6255, QPEps=0.2129)
Iter 354: *(NumConst=92, SV=35, CEps=0.5377, QPEps=0.2174)
Iter 355: *(NumConst=92, SV=37, CEps=0.3822, QPEps=0.1811)
Iter 356: *(NumConst=92, SV=34, CEps=0.4646, QPEps=0.1907)
Iter 357: *(NumConst=91, SV=37, CEps=0.5072, QPEps=0.1763)
Iter 358: *(NumConst=91, SV=33, CEps=0.4772, QPEps=0.1685)
Iter 359: *(NumConst=92, SV=35, CEps=0.3257, QPEps=0.1617)
Iter 360: *(NumConst=91, SV=31, CEps=0.4797, QPEps=0.1622)
Iter 361: *(NumConst=88, SV=32, CEps=0.3085, QPEps=0.1511)
Iter 362: *(NumConst=88, SV=32, CEps=0.3190, QPEps=0.1540)
Iter 363: *(NumConst=87, SV=30, CEps=0.3689, QPEps=0.1516)
Iter 364: *(NumConst=87, SV=31, CEps=0.3155, QPEps=0.1541)
Iter 365: *(NumConst=86, SV=31, CEps=0.2323, QPEps=0.1150)
Iter 366: *(NumConst=85, SV=31, CEps=0.3497, QPEps=0.1143)
Iter 367: *(NumConst=86, SV=27, CEps=0.4102, QPEps=0.1131)
Iter 368: *(NumConst=87, SV=29, CEps=0.2230, QPEps=0.1076)
Iter 369: *(NumConst=87, SV=28, CEps=0.3427, QPEps=0.1098)
Iter 370: *(NumConst=87, SV=28, CEps=0.3322, QPEps=0.1094)
Iter 371: *(NumConst=85, SV=29, CEps=0.2193, QPEps=0.1038)
Iter 372: *(NumConst=86, SV=33, CEps=0.2317, QPEps=0.1065)
Iter 373: *(NumConst=85, SV=28, CEps=0.2230, QPEps=0.1081)
Iter 374: *(NumConst=85, SV=28, CEps=0.3224, QPEps=0.0947)
Iter 375: *(NumConst=86, SV=28, CEps=0.2426, QPEps=0.1078)
Iter 376: *(NumConst=86, SV=32, CEps=0.1859, QPEps=0.0884)
Iter 377: *(NumConst=86, SV=30, CEps=0.3553, QPEps=0.0904)
Iter 378: *(NumConst=87, SV=30, CEps=0.2192, QPEps=0.0830)
Iter 379: *(NumConst=88, SV=31, CEps=0.1800, QPEps=0.0852)
Iter 380: *(NumConst=89, SV=32, CEps=0.2201, QPEps=0.0851)
Iter 381: *(NumConst=89, SV=32, CEps=0.1775, QPEps=0.0822)
Iter 382: *(NumConst=90, SV=30, CEps=0.1498, QPEps=0.0715)
Iter 383: *(NumConst=91, SV=32, CEps=0.1917, QPEps=0.0725)
Iter 384: *(NumConst=92, SV=32, CEps=0.1301, QPEps=0.0645)
Iter 385: *(NumConst=93, SV=32, CEps=0.2007, QPEps=0.0628)
Iter 386: *(NumConst=94, SV=30, CEps=0.1285, QPEps=0.0622)
Iter 387: *(NumConst=95, SV=29, CEps=0.1186, QPEps=0.0554)
Iter 388: *(NumConst=96, SV=28, CEps=0.1917, QPEps=0.0527)
Iter 389: *(NumConst=97, SV=30, CEps=0.1171, QPEps=0.0580)
Iter 390: .........*(NumConst=97, SV=33, CEps=0.7849, QPEps=0.3335)
Iter 391: *(NumConst=97, SV=34, CEps=0.4183, QPEps=0.2025)
Iter 392: *(NumConst=97, SV=36, CEps=0.3886, QPEps=0.1776)
Iter 393: *(NumConst=98, SV=35, CEps=0.5561, QPEps=0.1701)
Iter 394: *(NumConst=99, SV=31, CEps=0.4869, QPEps=0.1829)
Iter 395: *(NumConst=99, SV=32, CEps=0.5186, QPEps=0.1729)
Iter 396: *(NumConst=100, SV=33, CEps=0.3343, QPEps=0.1655)
Iter 397: *(NumConst=101, SV=35, CEps=0.3747, QPEps=0.1601)
Iter 398: *(NumConst=99, SV=32, CEps=0.3597, QPEps=0.1642)
Iter 399: *(NumConst=97, SV=37, CEps=0.2832, QPEps=0.1405)
Iter 400: *(NumConst=96, SV=33, CEps=0.3293, QPEps=0.1096)
Iter 401: *(NumConst=95, SV=35, CEps=0.3683, QPEps=0.1380)
Iter 402: *(NumConst=95, SV=35, CEps=0.3066, QPEps=0.1347)
Iter 403: *(NumConst=96, SV=33, CEps=0.2586, QPEps=0.1283)
Iter 404: *(NumConst=96, SV=34, CEps=0.1997, QPEps=0.0987)
Iter 405: *(NumConst=95, SV=30, CEps=0.3323, QPEps=0.0988)
Iter 406: *(NumConst=96, SV=31, CEps=0.2404, QPEps=0.0962)
Iter 407: *(NumConst=95, SV=31, CEps=0.3424, QPEps=0.0980)
Iter 408: *(NumConst=96, SV=29, CEps=0.2569, QPEps=0.0988)
Iter 409: *(NumConst=93, SV=30, CEps=0.2566, QPEps=0.0933)
Iter 410: *(NumConst=93, SV=31, CEps=0.2076, QPEps=0.0998)
Iter 411: *(NumConst=93, SV=31, CEps=0.3108, QPEps=0.0973)
Iter 412: *(NumConst=93, SV=29, CEps=0.2906, QPEps=0.0941)
Iter 413: *(NumConst=94, SV=32, CEps=0.1544, QPEps=0.0722)
Iter 414: *(NumConst=95, SV=30, CEps=0.2927, QPEps=0.0756)
Iter 415: *(NumConst=94, SV=29, CEps=0.2798, QPEps=0.0770)
Iter 416: *(NumConst=93, SV=28, CEps=0.2234, QPEps=0.0735)
Iter 417: *(NumConst=92, SV=30, CEps=0.1736, QPEps=0.0664)
Iter 418: *(NumConst=92, SV=33, CEps=0.2110, QPEps=0.0708)
Iter 419: *(NumConst=92, SV=29, CEps=0.1678, QPEps=0.0697)
Iter 420: *(NumConst=93, SV=32, CEps=0.1672, QPEps=0.0770)
Iter 421: *(NumConst=94, SV=30, CEps=0.2735, QPEps=0.0766)
Iter 422: *(NumConst=90, SV=33, CEps=0.1274, QPEps=0.0608)
Iter 423: *(NumConst=90, SV=32, CEps=0.2868, QPEps=0.0581)
Iter 424: *(NumConst=90, SV=28, CEps=0.2033, QPEps=0.0411)
Iter 425: *(NumConst=90, SV=31, CEps=0.1994, QPEps=0.0582)
Iter 426: *(NumConst=91, SV=31, CEps=0.2003, QPEps=0.0633)
Iter 427: *(NumConst=91, SV=30, CEps=0.1027, QPEps=0.0484)
Iter 428: *(NumConst=92, SV=29, CEps=0.1511, QPEps=0.0511)
Iter 429: *(NumConst=91, SV=32, CEps=0.1631, QPEps=0.0453)
Iter 430: *(NumConst=92, SV=29, CEps=0.1736, QPEps=0.0439)
Iter 431: *(NumConst=93, SV=30, CEps=0.1137, QPEps=0.0512)
Iter 432: *(NumConst=94, SV=31, CEps=0.1020, QPEps=0.0507)
Iter 433: *(NumConst=94, SV=32, CEps=0.1030, QPEps=0.0463)
Iter 434: *(NumConst=95, SV=31, CEps=0.1373, QPEps=0.0500)
Iter 435: *(NumConst=94, SV=31, CEps=0.1460, QPEps=0.0477)
Iter 436: *(NumConst=95, SV=35, CEps=0.1045, QPEps=0.0492)
Iter 437: *(NumConst=96, SV=34, CEps=0.1041, QPEps=0.0483)
Iter 438: *(NumConst=96, SV=33, CEps=0.1099, QPEps=0.0449)
Iter 439: .........*(NumConst=97, SV=34, CEps=0.6244, QPEps=0.1800)
Iter 440: *(NumConst=98, SV=34, CEps=0.3670, QPEps=0.1790)
Iter 441: *(NumConst=97, SV=39, CEps=0.4028, QPEps=0.1730)
Iter 442: *(NumConst=97, SV=43, CEps=0.3234, QPEps=0.1537)
Iter 443: *(NumConst=97, SV=39, CEps=0.3768, QPEps=0.1369)
Iter 444: *(NumConst=97, SV=40, CEps=0.2440, QPEps=0.1136)
Iter 445: *(NumConst=98, SV=41, CEps=0.2466, QPEps=0.1214)
Iter 446: *(NumConst=95, SV=41, CEps=0.2667, QPEps=0.1216)
Iter 447: *(NumConst=95, SV=41, CEps=0.2483, QPEps=0.1220)
Iter 448: *(NumConst=96, SV=38, CEps=0.1864, QPEps=0.0890)
Iter 449: *(NumConst=96, SV=41, CEps=0.2142, QPEps=0.0829)
Iter 450: *(NumConst=96, SV=40, CEps=0.2333, QPEps=0.0899)
Iter 451: *(NumConst=94, SV=39, CEps=0.1622, QPEps=0.0773)
Iter 452: *(NumConst=91, SV=37, CEps=0.1704, QPEps=0.0807)
Iter 453: *(NumConst=92, SV=39, CEps=0.1372, QPEps=0.0673)
Iter 454: *(NumConst=91, SV=36, CEps=0.2145, QPEps=0.0676)
Iter 455: *(NumConst=91, SV=40, CEps=0.1367, QPEps=0.0682)
Iter 456: *(NumConst=92, SV=39, CEps=0.1864, QPEps=0.0664)
Iter 457: *(NumConst=93, SV=41, CEps=0.1279, QPEps=0.0626)
Iter 458: *(NumConst=94, SV=38, CEps=0.1210, QPEps=0.0600)
Iter 459: *(NumConst=95, SV=38, CEps=0.1228, QPEps=0.0604)
Iter 460: *(NumConst=95, SV=37, CEps=0.1347, QPEps=0.0604)
Iter 461: *(NumConst=95, SV=37, CEps=0.1072, QPEps=0.0525)
Iter 462: *(NumConst=96, SV=36, CEps=0.1410, QPEps=0.0529)
Iter 463: *(NumConst=96, SV=39, CEps=0.1550, QPEps=0.0531)
Iter 464: *(NumConst=95, SV=38, CEps=0.1631, QPEps=0.0469)
Iter 465: .........*(NumConst=96, SV=48, CEps=0.4232, QPEps=0.1998)
Iter 466: *(NumConst=95, SV=44, CEps=0.3261, QPEps=0.1558)
Iter 467: *(NumConst=96, SV=43, CEps=0.3692, QPEps=0.1544)
Iter 468: *(NumConst=94, SV=46, CEps=0.3035, QPEps=0.1247)
Iter 469: *(NumConst=95, SV=40, CEps=0.3541, QPEps=0.1358)
Iter 470: *(NumConst=94, SV=44, CEps=0.2594, QPEps=0.1255)
Iter 471: *(NumConst=94, SV=39, CEps=0.2797, QPEps=0.1216)
Iter 472: *(NumConst=94, SV=38, CEps=0.2417, QPEps=0.1127)
Iter 473: *(NumConst=94, SV=37, CEps=0.3469, QPEps=0.0885)
Iter 474: *(NumConst=94, SV=37, CEps=0.2663, QPEps=0.1164)
Iter 475: *(NumConst=95, SV=35, CEps=0.2455, QPEps=0.1183)
Iter 476: *(NumConst=96, SV=40, CEps=0.1924, QPEps=0.0947)
Iter 477: *(NumConst=96, SV=43, CEps=0.2217, QPEps=0.0887)
Iter 478: *(NumConst=97, SV=38, CEps=0.2312, QPEps=0.0962)
Iter 479: *(NumConst=97, SV=36, CEps=0.2784, QPEps=0.0962)
Iter 480: *(NumConst=97, SV=37, CEps=0.1829, QPEps=0.0911)
Iter 481: *(NumConst=98, SV=37, CEps=0.1925, QPEps=0.0909)
Iter 482: *(NumConst=99, SV=37, CEps=0.2087, QPEps=0.0908)
Iter 483: *(NumConst=100, SV=39, CEps=0.1570, QPEps=0.0755)
Iter 484: *(NumConst=101, SV=44, CEps=0.2018, QPEps=0.0768)
Iter 485: *(NumConst=102, SV=36, CEps=0.1657, QPEps=0.0782)
Iter 486: *(NumConst=103, SV=37, CEps=0.1584, QPEps=0.0767)
Iter 487: *(NumConst=104, SV=42, CEps=0.1622, QPEps=0.0784)
Iter 488: *(NumConst=105, SV=40, CEps=0.1472, QPEps=0.0729)
Iter 489: *(NumConst=106, SV=40, CEps=0.1808, QPEps=0.0726)
Iter 490: *(NumConst=106, SV=40, CEps=0.1486, QPEps=0.0659)
Iter 491: *(NumConst=107, SV=38, CEps=0.1286, QPEps=0.0638)
Iter 492: *(NumConst=105, SV=37, CEps=0.1407, QPEps=0.0582)
Iter 493: *(NumConst=106, SV=40, CEps=0.1475, QPEps=0.0623)
Iter 494: *(NumConst=107, SV=41, CEps=0.1563, QPEps=0.0632)
Iter 495: *(NumConst=106, SV=37, CEps=0.1642, QPEps=0.0642)
Iter 496: *(NumConst=107, SV=38, CEps=0.1312, QPEps=0.0637)
Iter 497: *(NumConst=107, SV=39, CEps=0.1708, QPEps=0.0621)
Iter 498: .........*(NumConst=108, SV=39, CEps=0.3643, QPEps=0.1409)
Iter 499: *(NumConst=109, SV=40, CEps=0.2514, QPEps=0.1110)
Iter 500: *(NumConst=110, SV=45, CEps=0.2359, QPEps=0.1170)
Iter 501: *(NumConst=110, SV=47, CEps=0.2307, QPEps=0.1092)
Iter 502: *(NumConst=111, SV=41, CEps=0.2551, QPEps=0.1042)
Iter 503: *(NumConst=112, SV=45, CEps=0.2005, QPEps=0.0998)
Iter 504: *(NumConst=110, SV=41, CEps=0.2457, QPEps=0.0984)
Iter 505: *(NumConst=111, SV=42, CEps=0.1748, QPEps=0.0872)
Iter 506: *(NumConst=112, SV=44, CEps=0.1989, QPEps=0.0871)
Iter 507: *(NumConst=111, SV=43, CEps=0.1753, QPEps=0.0861)
Iter 508: *(NumConst=111, SV=41, CEps=0.2074, QPEps=0.0874)
Iter 509: *(NumConst=112, SV=40, CEps=0.1709, QPEps=0.0843)
Iter 510: *(NumConst=112, SV=41, CEps=0.1777, QPEps=0.0853)
Iter 511: *(NumConst=113, SV=39, CEps=0.1448, QPEps=0.0721)
Iter 512: *(NumConst=114, SV=41, CEps=0.1712, QPEps=0.0715)
Iter 513: *(NumConst=115, SV=39, CEps=0.1601, QPEps=0.0708)
Iter 514: *(NumConst=116, SV=39, CEps=0.1620, QPEps=0.0684)
Iter 515: *(NumConst=114, SV=40, CEps=0.1273, QPEps=0.0628)
Iter 516: *(NumConst=114, SV=38, CEps=0.1741, QPEps=0.0630)
Iter 517: *(NumConst=114, SV=40, CEps=0.1380, QPEps=0.0634)
Iter 518: *(NumConst=112, SV=38, CEps=0.1257, QPEps=0.0603)
Iter 519: *(NumConst=111, SV=39, CEps=0.1089, QPEps=0.0534)
Iter 520: *(NumConst=111, SV=40, CEps=0.1025, QPEps=0.0507)
Iter 521: *(NumConst=111, SV=37, CEps=0.1345, QPEps=0.0505)
Iter 522: .........*(NumConst=110, SV=38, CEps=0.3382, QPEps=0.1373)
Iter 523: *(NumConst=110, SV=41, CEps=0.2004, QPEps=0.0954)
Iter 524: *(NumConst=109, SV=39, CEps=0.2477, QPEps=0.0992)
Iter 525: *(NumConst=110, SV=43, CEps=0.1520, QPEps=0.0737)
Iter 526: *(NumConst=110, SV=40, CEps=0.1558, QPEps=0.0757)
Iter 527: *(NumConst=109, SV=38, CEps=0.1502, QPEps=0.0715)
Iter 528: *(NumConst=107, SV=37, CEps=0.1362, QPEps=0.0676)
Iter 529: *(NumConst=108, SV=38, CEps=0.1455, QPEps=0.0470)
Iter 530: *(NumConst=108, SV=43, CEps=0.1247, QPEps=0.0484)
Iter 531: *(NumConst=108, SV=40, CEps=0.1310, QPEps=0.0622)
Iter 532: *(NumConst=109, SV=45, CEps=0.1362, QPEps=0.0607)
Iter 533: *(NumConst=110, SV=41, CEps=0.1254, QPEps=0.0604)
Iter 534: *(NumConst=110, SV=42, CEps=0.1326, QPEps=0.0607)
Iter 535: *(NumConst=111, SV=39, CEps=0.1286, QPEps=0.0621)
Iter 536: *(NumConst=110, SV=41, CEps=0.1244, QPEps=0.0584)
Iter 537: *(NumConst=108, SV=40, CEps=0.1054, QPEps=0.0525)
Iter 538: .........*(NumConst=107, SV=41, CEps=0.3036, QPEps=0.0681)
Iter 539: *(NumConst=107, SV=46, CEps=0.1208, QPEps=0.0565)
Iter 540: *(NumConst=106, SV=47, CEps=0.1159, QPEps=0.0548)
Iter 541: *(NumConst=107, SV=43, CEps=0.1540, QPEps=0.0553)
Iter 542: .........*(NumConst=107, SV=44, CEps=0.2578, QPEps=0.0958)
Iter 543: *(NumConst=108, SV=45, CEps=0.2253, QPEps=0.1087)
Iter 544: *(NumConst=108, SV=48, CEps=0.1561, QPEps=0.0756)
Iter 545: *(NumConst=109, SV=45, CEps=0.1440, QPEps=0.0706)
Iter 546: *(NumConst=109, SV=47, CEps=0.1325, QPEps=0.0613)
Iter 547: *(NumConst=109, SV=48, CEps=0.1074, QPEps=0.0519)
Iter 548: *(NumConst=110, SV=46, CEps=0.1213, QPEps=0.0532)
Iter 549: *(NumConst=110, SV=44, CEps=0.1208, QPEps=0.0531)
Iter 550: *(NumConst=107, SV=48, CEps=0.1082, QPEps=0.0516)
Iter 551: *(NumConst=103, SV=47, CEps=0.1051, QPEps=0.0469)
Iter 552: *(NumConst=100, SV=47, CEps=0.1144, QPEps=0.0525)
Iter 553: *(NumConst=99, SV=51, CEps=0.1038, QPEps=0.0519)
Iter 554: *(NumConst=98, SV=44, CEps=0.1178, QPEps=0.0518)
Iter 555: .........*(NumConst=99, SV=45, CEps=0.3120, QPEps=0.0830)
Iter 556: *(NumConst=99, SV=49, CEps=0.1248, QPEps=0.0538)
Iter 557: *(NumConst=99, SV=51, CEps=0.1168, QPEps=0.0531)
Iter 558: .........*(NumConst=100, SV=52, CEps=0.3096, QPEps=0.1101)
Iter 559: *(NumConst=101, SV=47, CEps=0.1573, QPEps=0.0679)
Iter 560: *(NumConst=100, SV=47, CEps=0.1440, QPEps=0.0692)
Iter 561: .........*(NumConst=100, SV=49, CEps=0.2063, QPEps=0.0877)
Iter 562: *(NumConst=99, SV=53, CEps=0.1626, QPEps=0.0730)
Iter 563: *(NumConst=100, SV=52, CEps=0.1670, QPEps=0.0798)
Iter 564: *(NumConst=99, SV=51, CEps=0.1592, QPEps=0.0788)
Iter 565: *(NumConst=100, SV=49, CEps=0.1486, QPEps=0.0742)
Iter 566: *(NumConst=101, SV=49, CEps=0.1230, QPEps=0.0605)
Iter 567: *(NumConst=101, SV=52, CEps=0.1498, QPEps=0.0571)
Iter 568: *(NumConst=101, SV=52, CEps=0.1139, QPEps=0.0539)
Iter 569: *(NumConst=102, SV=48, CEps=0.1240, QPEps=0.0548)
Iter 570: *(NumConst=101, SV=52, CEps=0.1241, QPEps=0.0488)
Iter 571: .........*(NumConst=102, SV=53, CEps=0.2726, QPEps=0.0968)
Iter 572: *(NumConst=101, SV=55, CEps=0.1643, QPEps=0.0789)
Iter 573: *(NumConst=100, SV=58, CEps=0.1334, QPEps=0.0650)
Iter 574: *(NumConst=101, SV=57, CEps=0.1056, QPEps=0.0482)
Iter 575: *(NumConst=101, SV=55, CEps=0.1227, QPEps=0.0505)
Iter 576: *(NumConst=101, SV=51, CEps=0.1046, QPEps=0.0522)
Iter 577: *(NumConst=101, SV=54, CEps=0.1021, QPEps=0.0507)
Iter 578: *(NumConst=101, SV=52, CEps=0.1156, QPEps=0.0442)
Iter 579: .........*(NumConst=102, SV=53, CEps=0.1845, QPEps=0.0915)
Iter 580: *(NumConst=101, SV=53, CEps=0.1447, QPEps=0.0710)
Iter 581: *(NumConst=102, SV=57, CEps=0.1347, QPEps=0.0614)
Iter 582: *(NumConst=102, SV=56, CEps=0.1356, QPEps=0.0658)
Iter 583: *(NumConst=103, SV=56, CEps=0.1156, QPEps=0.0544)
Iter 584: *(NumConst=103, SV=54, CEps=0.1017, QPEps=0.0480)
Iter 585: *(NumConst=104, SV=51, CEps=0.1011, QPEps=0.0491)
Iter 586: *(NumConst=105, SV=49, CEps=0.1183, QPEps=0.0504)
Iter 587: .........*(NumConst=106, SV=51, CEps=0.1759, QPEps=0.0790)
Iter 588: *(NumConst=106, SV=52, CEps=0.1019, QPEps=0.0468)
Iter 589: *(NumConst=106, SV=47, CEps=0.1168, QPEps=0.0500)
Iter 590: .........*(NumConst=107, SV=48, CEps=0.1790, QPEps=0.0806)
Iter 591: *(NumConst=108, SV=49, CEps=0.1520, QPEps=0.0639)
Iter 592: *(NumConst=109, SV=48, CEps=0.1224, QPEps=0.0558)
Iter 593: *(NumConst=109, SV=51, CEps=0.1265, QPEps=0.0604)
Iter 594: *(NumConst=110, SV=49, CEps=0.1089, QPEps=0.0538)
Iter 595: *(NumConst=111, SV=54, CEps=0.1006, QPEps=0.0458)
Iter 596: *(NumConst=112, SV=51, CEps=0.1116, QPEps=0.0449)
Iter 597: .........*(NumConst=111, SV=52, CEps=0.2142, QPEps=0.0799)
Iter 598: *(NumConst=112, SV=58, CEps=0.1124, QPEps=0.0537)
Iter 599: .........*(NumConst=113, SV=59, CEps=0.1306, QPEps=0.0562)
Iter 600: *(NumConst=113, SV=57, CEps=0.1192, QPEps=0.0594)
Iter 601: *(NumConst=113, SV=54, CEps=0.1026, QPEps=0.0505)
Iter 602: *(NumConst=113, SV=55, CEps=0.1181, QPEps=0.0483)
Iter 603: .........*(NumConst=113, SV=52, CEps=0.1507, QPEps=0.0594)
Iter 604: *(NumConst=114, SV=59, CEps=0.1117, QPEps=0.0504)
Iter 605: *(NumConst=115, SV=59, CEps=0.1332, QPEps=0.0547)
Iter 606: .........*(NumConst=115, SV=59, CEps=0.1710, QPEps=0.0618)
Iter 607: *(NumConst=116, SV=60, CEps=0.1117, QPEps=0.0528)
Iter 608: *(NumConst=116, SV=61, CEps=0.1090, QPEps=0.0413)
Iter 609: *(NumConst=116, SV=55, CEps=0.1095, QPEps=0.0525)
Iter 610: .........*(NumConst=117, SV=53, CEps=0.1768, QPEps=0.0465)
Iter 611: .........*(NumConst=118, SV=53, CEps=0.1768, QPEps=0.0565)
Iter 612: *(NumConst=118, SV=53, CEps=0.1126, QPEps=0.0551)
Iter 613: *(NumConst=118, SV=54, CEps=0.1260, QPEps=0.0495)
Iter 614: .........*(NumConst=119, SV=55, CEps=0.1602, QPEps=0.0527)
Iter 615: .........*(NumConst=120, SV=57, CEps=0.1655, QPEps=0.0603)
Iter 616: .........*(NumConst=120, SV=59, CEps=0.1088, QPEps=0.0541)
Iter 617: .........*(NumConst=119, SV=57, CEps=0.1209, QPEps=0.0539)
Iter 618: *(NumConst=118, SV=59, CEps=0.1239, QPEps=0.0491)
Iter 619: .........*(NumConst=117, SV=56, CEps=0.1446, QPEps=0.0537)
Iter 620: .........*(NumConst=118, SV=57, CEps=0.1263, QPEps=0.0510)
Iter 621: .........*(NumConst=119, SV=57, CEps=0.1483, QPEps=0.0477)
Iter 622: .........*(NumConst=118, SV=59, CEps=0.1130, QPEps=0.0463)
Iter 623: .........*(NumConst=119, SV=58, CEps=0.1349, QPEps=0.0530)
Iter 624: .........*(NumConst=120, SV=60, CEps=0.1045, QPEps=0.0433)
Iter 625: *(NumConst=119, SV=61, CEps=0.1024, QPEps=0.0511)
Iter 626: .........*(NumConst=120, SV=62, CEps=0.1133, QPEps=0.0516)
Iter 627: .........*(NumConst=120, SV=61, CEps=0.1075, QPEps=0.0517)
Iter 628: *(NumConst=121, SV=59, CEps=0.1071, QPEps=0.0418)
Iter 629: .........*(NumConst=121, SV=60, CEps=0.1151, QPEps=0.0504)
Iter 630: .........*(NumConst=122, SV=61, CEps=0.1326, QPEps=0.0515)
Iter 631: .........*(NumConst=121, SV=60, CEps=0.1121, QPEps=0.0434)
Iter 632: .........(NumConst=121, SV=60, CEps=0.0968, QPEps=0.0434)
Final epsilon on KKT-Conditions: 0.09680
Upper bound on duality gap: 233.61802
Dual objective value: dval=10797.72381
Primal objective value: pval=11031.34184
Total number of constraints in final working set: 121 (of 631)
Number of iterations: 632
Number of calls to 'find_most_violated_constraint': 674163
Number of SV: 60 
Norm of weight vector: |w|=66.12998
Value of slack variable (on working set): xi=3.27804
Value of slack variable (global): xi=3.34124
Norm of longest difference vector: ||Psi(x,y)-Psi(x,ybar)||=5.09487
Runtime in cpu-seconds: 81.35
Final number of constraints in cache: 41615
Viterbi timing: CreateTransEmitMatrix=987.000000 Viterbi=1164.000000
Compacting linear model...done
Writing learned model...done
=== END program1: ./run learn ../dataset2/train --- OK [248s]

===== MAIN: predict/evaluate on train data =====
=== START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in
=== END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [3s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
read 2 templates from "template"
Reading model...done.
Reading test examples... 8323 examples, 264715 tokens, 26071 features, 10 classes... done.
Classifying test examples...done
Runtime (without IO) in cpu-seconds: 0.19
Average loss on test set: 31.8052
Zero/one-error on test set: 100.00% (0 correct, 8323 incorrect, 8323 total)
Average loss per token: 1.0000
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [24s]
=== START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out
=== END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [19s]

===== MAIN: predict/evaluate on test data =====
=== START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in
=== END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [1s]
=== START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out
read 2 templates from "template"
Reading model...done.
Reading test examples... 1517 examples, 51533 tokens, 25937 features, 10 classes... done.
Classifying test examples...done
Runtime (without IO) in cpu-seconds: 0.04
Average loss on test set: 33.9703
Zero/one-error on test set: 100.00% (0 correct, 1517 incorrect, 1517 total)
Average loss per token: 1.0000
=== END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [6s]
=== START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out
=== END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [3s]


real	5m18.499s
user	1m49.343s
sys	0m8.209s

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